SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 2605 papers

TitleStatusHype
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Automatic Testing With Reusable Adversarial Agents—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Automatic driving lane change safety prediction model based on LSTM—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies—0
A machine learning environment for evaluating autonomous driving software—0
DeepLaser: Practical Fault Attack on Deep Neural Networks—0
Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics—0
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles—0
Predictive Planner for Autonomous Driving with Consistency Models—0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles—0
Automatic Calibration of Multiple 3D LiDARs in Urban Environments—0
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers—0
Can CAV Reduce Non-Recurrent Urban Road Congestion?—0
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud—0
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication—0
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN—0
Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Flooding Control in the Random Finite Set Framework—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision—0
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments—0
DeepFault: Fault Localization for Deep Neural Networks—0
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems—0
EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction—0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified